Credit where credit’s due: accounting for co-authorship in citation counts

被引:0
|
作者
Richard S. J. Tol
机构
[1] Economic and Social Research Institute,Institute for Environmental Studies
[2] Vrije Universiteit,Department of Spatial Economics
[3] Vrije Universiteit,Department of Economics
[4] Trinity College,undefined
来源
Scientometrics | 2011年 / 89卷
关键词
Citations; Co-authors; Pareto distribution;
D O I
暂无
中图分类号
学科分类号
摘要
I propose a new method (Pareto weights) to objectively attribute citations to co-authors. Previous methods either profess ignorance about the seniority of co-authors (egalitarian weights) or are based in an ad hoc way on the order of authors (rank weights). Pareto weights are based on the respective citation records of the co-authors. Pareto weights are proportional to the probability of observing the number of citations obtained. Assuming a Pareto distribution, such weights can be computed with a simple, closed-form equation but require a few iterations and data on a scholar, her co-authors, and her co-authors’ co-authors. The use of Pareto weights is illustrated with a group of prominent economists. In this case, Pareto weights are very different from rank weights. Pareto weights are more similar to egalitarian weights but can deviate up to a quarter in either direction (for reasons that are intuitive).
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页码:291 / 299
页数:8
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